Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
We focus on the problem of multi-party data sharing in high dimensional data settings where the number of measured features (or the dimension) p is frequently much larger than the number of subjects (or the sample size) n, the so-called p>> n scenario that has been the focus of much recent sta...
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Main Authors: | FIENBERG, Stephen E., JIN, Jiashun |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2012
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Online Access: | https://ink.library.smu.edu.sg/larc/1 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1000&context=larc |
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Institution: | Singapore Management University |
Language: | English |
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